Having quick access to metrics and health signals from your AWS environment is paramount to identifying issues expediently and monitoring the effects of any deployed fixes. Datadog is proud to partner with AWS for the launch of CloudWatch Metric Streams, a new feature that allows AWS users to forward metrics from key AWS services to different endpoints, including Datadog, via Amazon Kinesis Data Firehose with low latency.

Fastly is an edge cloud platform that includes a content delivery network (CDN), as well as services for image optimization, video streaming, cloud security, and load balancing. These services are supported by a network of caches in different locations, which enables enterprise-scale companies to deliver applications to users as quickly as possible, even in times of peak traffic.

Microsoft 365, formerly known as Office 365, is a suite of cloud-based productivity and communication services that is used by more than one million companies worldwide. The applications included in the suite are critical to the daily workflows of subscribers and therefore require careful monitoring in order to minimize the effects of downtime and ensure optimal usage.

If you are a .NET developer, monitoring runtime metrics can help you troubleshoot bugs and detect resource inefficiencies in your applications. With Datadog, you can easily collect, visualize, and alert on key .NET runtime metrics, including exceptions, garbage collection statistics, thread count, and more. We have fully integrated .NET runtime metrics into Datadog APM so that you can easily view them alongside your distributed traces, logs, and other telemetry.

VoltDB is an ACID-compliant, in-memory relational database designed to support real-time analytics. VoltDB’s in-memory storage, stored procedures, and shared-nothing architecture make it specifically optimized for quickly processing massive streams of data. This means VoltDB is tailored for use cases like online gaming, telecommunication, and financial applications, which require fast data processing.

Last year, we released native tracing for AWS Lambda through Datadog APM to provide deep visibility into serverless functions and surface performance issues such as cold starts and errors, without any added latency. But Lambda functions are only one piece of the puzzle in a rapidly growing serverless ecosystem, which includes message queues, data streams, notification services, and more.

Microsoft Azure provides a suite of cloud computing services that allow organizations across every industry to deploy, manage, and monitor full-scale web applications. As you expand your Azure-based applications, securing the full scope of your cloud resources becomes an increasingly complex task. Azure platform logs record the who, what, when, and where of all user-performed and service account activity within your Azure environment.

NerdVision is a live debugging platform that enables users to take snapshots of their application’s state at runtime. NerdVision is compatible with .NET, Java, Node.js, Python, and ColdFusion applications—no matter where they are hosted—and doesn’t require any changes to the source code.

Juniper Networks provides a range of IT network and security devices, including routers, switches, access points, and firewalls. As you scale your on-prem infrastructure with potentially thousands of devices distributed across multiple locations, getting visibility into your entire network can easily become a pain point.

If you’re investigating an incident, every minute means degraded performance or even downtime for customers. The causes of an issue often come from parts of your systems and applications that you would not think to check, and the sooner you can bring these to light, the better.

AWS Fargate provides a way to use AWS container orchestration services—Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS)—without needing to provision and maintain the infrastructure that runs your containers. Fargate is similar to serverless container platforms from Google (Cloud Run) and Microsoft (AKS virtual nodes).

In Part 1 of this series, we showed you the key metrics you can monitor to understand the health of your Amazon ECS and Amazon EKS clusters running on AWS Fargate. In this post, we’ll show you how you can: You can use Amazon CloudWatch and related AWS services to gain visibility into your ECS clusters and the Fargate infrastructure that runs them.

In Part 1 of this series, we looked at the important metrics to monitor when you’re running ECS or EKS on AWS Fargate. In Part 2 we showed you how to use Amazon CloudWatch and other tools to collect those metrics plus logs from your application containers. Fargate’s serverless container platform helps users deploy and manage ECS and EKS applications, but the dynamic nature of containers makes them challenging to monitor.